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<title>CUTLASS: cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</title>
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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm.html">gemm</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm_1_1warp.html">warp</a></li><li class="navelem"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html">MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</a></li>  </ul>
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<div class="title">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</div>  </div>
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<p><code>#include &lt;<a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:abc1e2caeaf199bb237021aedb568ff82"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#abc1e2caeaf199bb237021aedb568ff82">Shape</a> = Shape_</td></tr>
<tr class="memdesc:abc1e2caeaf199bb237021aedb568ff82"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of tile to load (concept: PitchLinearShape)  <a href="#abc1e2caeaf199bb237021aedb568ff82">More...</a><br /></td></tr>
<tr class="separator:abc1e2caeaf199bb237021aedb568ff82"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a63d8fb0bc5ff9156759fa24277aee9e0"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a> = Element_</td></tr>
<tr class="memdesc:a63d8fb0bc5ff9156759fa24277aee9e0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element type.  <a href="#a63d8fb0bc5ff9156759fa24277aee9e0">More...</a><br /></td></tr>
<tr class="separator:a63d8fb0bc5ff9156759fa24277aee9e0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:add223eafdccc3e8557a1b797179ab645"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#add223eafdccc3e8557a1b797179ab645">Layout</a> = <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ab727d22dc3746013f7a9e998b3311656">kCrosswise</a> &gt;</td></tr>
<tr class="memdesc:add223eafdccc3e8557a1b797179ab645"><td class="mdescLeft">&#160;</td><td class="mdescRight">Layout of source tile.  <a href="#add223eafdccc3e8557a1b797179ab645">More...</a><br /></td></tr>
<tr class="separator:add223eafdccc3e8557a1b797179ab645"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4976d5d69018094eddecb44de711343e"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a4976d5d69018094eddecb44de711343e">InstructionShape</a> = InstructionShape_</td></tr>
<tr class="memdesc:a4976d5d69018094eddecb44de711343e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of one matrix product operation (concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>)  <a href="#a4976d5d69018094eddecb44de711343e">More...</a><br /></td></tr>
<tr class="separator:a4976d5d69018094eddecb44de711343e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad76e0d5c3390a5d148c76da1db5c75e2"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad76e0d5c3390a5d148c76da1db5c75e2">TensorRef</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad76e0d5c3390a5d148c76da1db5c75e2">TensorRef</a>&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#add223eafdccc3e8557a1b797179ab645">Layout</a> &gt;</td></tr>
<tr class="memdesc:ad76e0d5c3390a5d148c76da1db5c75e2"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> type for loading element from a tensor.  <a href="#ad76e0d5c3390a5d148c76da1db5c75e2">More...</a><br /></td></tr>
<tr class="separator:ad76e0d5c3390a5d148c76da1db5c75e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a32d9d7875ad2a5fbb0281115b11ebce9"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td></tr>
<tr class="memdesc:a32d9d7875ad2a5fbb0281115b11ebce9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type.  <a href="#a32d9d7875ad2a5fbb0281115b11ebce9">More...</a><br /></td></tr>
<tr class="separator:a32d9d7875ad2a5fbb0281115b11ebce9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2deff3a17ae49f6b0c6f7d46f3296144"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a2deff3a17ae49f6b0c6f7d46f3296144">LongIndex</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td></tr>
<tr class="memdesc:a2deff3a17ae49f6b0c6f7d46f3296144"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long Index type.  <a href="#a2deff3a17ae49f6b0c6f7d46f3296144">More...</a><br /></td></tr>
<tr class="separator:a2deff3a17ae49f6b0c6f7d46f3296144"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a03318bc6554c900c68a6065fad2afbb0"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td></tr>
<tr class="memdesc:a03318bc6554c900c68a6065fad2afbb0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Coordinate for an element in the tensor.  <a href="#a03318bc6554c900c68a6065fad2afbb0">More...</a><br /></td></tr>
<tr class="separator:a03318bc6554c900c68a6065fad2afbb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:af497c01bcf8f48ec2ec4a90df6eaec11"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#af497c01bcf8f48ec2ec4a90df6eaec11">Base</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt; Shape::kRow, Shape::kColumn &gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad50d5b711b65113c24fb443f9a47d090">kOperand</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ab727d22dc3746013f7a9e998b3311656">kCrosswise</a> &gt;, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt; InstructionShape::kRow, InstructionShape::kColumn &gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a4776e877963b81e7a1da91a7b5956034">kOpDelta</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63155c7e31f604d81cc80d8dd43aa4c1">kThreads</a>, PartitionsK_ &gt;</td></tr>
<tr class="memdesc:af497c01bcf8f48ec2ec4a90df6eaec11"><td class="mdescLeft">&#160;</td><td class="mdescRight">Underlying tile iterator implementation.  <a href="#af497c01bcf8f48ec2ec4a90df6eaec11">More...</a><br /></td></tr>
<tr class="separator:af497c01bcf8f48ec2ec4a90df6eaec11"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad5154742e24c958288b0f52544aaaa68"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> = Array&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a>, Shape::kCount/<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63155c7e31f604d81cc80d8dd43aa4c1">kThreads</a> &gt;</td></tr>
<tr class="memdesc:ad5154742e24c958288b0f52544aaaa68"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fragment object holding a thread's part of a tile.  <a href="#ad5154742e24c958288b0f52544aaaa68">More...</a><br /></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a3ce87fe4f5ea64612fe20bc97dcab01d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a3ce87fe4f5ea64612fe20bc97dcab01d">MmaTensorOpMultiplicandTileIterator</a> ()</td></tr>
<tr class="memdesc:a3ce87fe4f5ea64612fe20bc97dcab01d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default ctor constructs null iterator.  <a href="#a3ce87fe4f5ea64612fe20bc97dcab01d">More...</a><br /></td></tr>
<tr class="separator:a3ce87fe4f5ea64612fe20bc97dcab01d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a87790289d78b1b515f95f5e81626a236"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a87790289d78b1b515f95f5e81626a236">MmaTensorOpMultiplicandTileIterator</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad76e0d5c3390a5d148c76da1db5c75e2">TensorRef</a> const &amp;ref, int lane_id)</td></tr>
<tr class="memdesc:a87790289d78b1b515f95f5e81626a236"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor from <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a>.  <a href="#a87790289d78b1b515f95f5e81626a236">More...</a><br /></td></tr>
<tr class="separator:a87790289d78b1b515f95f5e81626a236"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5c88fe11bac5ea0b60f3c73f4dc8b758"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a5c88fe11bac5ea0b60f3c73f4dc8b758">add_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a2deff3a17ae49f6b0c6f7d46f3296144">LongIndex</a> offset)</td></tr>
<tr class="memdesc:a5c88fe11bac5ea0b60f3c73f4dc8b758"><td class="mdescLeft">&#160;</td><td class="mdescRight">Adds a pointer offset to internal pointer(s) to advance through memory.  <a href="#a5c88fe11bac5ea0b60f3c73f4dc8b758">More...</a><br /></td></tr>
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<tr class="memitem:aee6eda1ac83a4545e0220036871e8ab2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#aee6eda1ac83a4545e0220036871e8ab2">add_tile_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:aa0317bb349e4b16873cfe51dfa748519"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#aa0317bb349e4b16873cfe51dfa748519">operator++</a> ()</td></tr>
<tr class="memdesc:aa0317bb349e4b16873cfe51dfa748519"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#aa0317bb349e4b16873cfe51dfa748519">More...</a><br /></td></tr>
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<tr class="memitem:ab319010cfbb0e20723c0fbdefac6a10e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ab319010cfbb0e20723c0fbdefac6a10e">operator--</a> ()</td></tr>
<tr class="memdesc:ab319010cfbb0e20723c0fbdefac6a10e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#ab319010cfbb0e20723c0fbdefac6a10e">More...</a><br /></td></tr>
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<tr class="memitem:a2b8a09d931c351b3c252ee1a72147208"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a2b8a09d931c351b3c252ee1a72147208">operator+=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:adfcfe12e980652302eddabcf06911208"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#adfcfe12e980652302eddabcf06911208">operator-=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:a5bf6f7434406ae011baad51c8f6134d7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a5bf6f7434406ae011baad51c8f6134d7">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;frag) const </td></tr>
<tr class="memdesc:a5bf6f7434406ae011baad51c8f6134d7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory at the location pointed to by the iterator.  <a href="#a5bf6f7434406ae011baad51c8f6134d7">More...</a><br /></td></tr>
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<tr class="memitem:a6f96ec999bbddffcaca1a31aa31e9708"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a6f96ec999bbddffcaca1a31aa31e9708">load_with_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a6f96ec999bbddffcaca1a31aa31e9708"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a6f96ec999bbddffcaca1a31aa31e9708">More...</a><br /></td></tr>
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<tr class="memitem:a0b3b6e84e68211479165f6bfce96421d"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a0b3b6e84e68211479165f6bfce96421d">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:a0b3b6e84e68211479165f6bfce96421d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a0b3b6e84e68211479165f6bfce96421d">More...</a><br /></td></tr>
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<tr class="memitem:a6d44b68261394c954c3667a061c0d91b"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a6d44b68261394c954c3667a061c0d91b">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;tile_offset) const </td></tr>
<tr class="memdesc:a6d44b68261394c954c3667a061c0d91b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a6d44b68261394c954c3667a061c0d91b">More...</a><br /></td></tr>
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<tr class="memitem:abe224b64e7ed23246e233d7a407efdc8"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#abe224b64e7ed23246e233d7a407efdc8">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:abe224b64e7ed23246e233d7a407efdc8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#abe224b64e7ed23246e233d7a407efdc8">More...</a><br /></td></tr>
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<tr class="memitem:a82b17c0d55556b72697597851644bb53"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a82b17c0d55556b72697597851644bb53">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:a82b17c0d55556b72697597851644bb53"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a82b17c0d55556b72697597851644bb53">More...</a><br /></td></tr>
<tr class="separator:a82b17c0d55556b72697597851644bb53"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3201247518a0b500753b719c92517768"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a3201247518a0b500753b719c92517768">set_kgroup_index</a> (int k_group)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
Static Public Attributes</h2></td></tr>
<tr class="memitem:ad50d5b711b65113c24fb443f9a47d090"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad50d5b711b65113c24fb443f9a47d090">kOperand</a> = Operand_</td></tr>
<tr class="memdesc:ad50d5b711b65113c24fb443f9a47d090"><td class="mdescLeft">&#160;</td><td class="mdescRight">Operand tag.  <a href="#ad50d5b711b65113c24fb443f9a47d090">More...</a><br /></td></tr>
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<tr class="memitem:ab727d22dc3746013f7a9e998b3311656"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ab727d22dc3746013f7a9e998b3311656">kCrosswise</a> = Crosswise</td></tr>
<tr class="memdesc:ab727d22dc3746013f7a9e998b3311656"><td class="mdescLeft">&#160;</td><td class="mdescRight">KBlock size.  <a href="#ab727d22dc3746013f7a9e998b3311656">More...</a><br /></td></tr>
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<tr class="memitem:a4776e877963b81e7a1da91a7b5956034"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a4776e877963b81e7a1da91a7b5956034">kOpDelta</a> = OpDelta_</td></tr>
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<tr class="memitem:a63155c7e31f604d81cc80d8dd43aa4c1"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63155c7e31f604d81cc80d8dd43aa4c1">kThreads</a> = 32</td></tr>
<tr class="memdesc:a63155c7e31f604d81cc80d8dd43aa4c1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of participating threads.  <a href="#a63155c7e31f604d81cc80d8dd43aa4c1">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename Shape_, Operand Operand_, typename Element_, typename InstructionShape_, int OpDelta_, int Crosswise, int PartitionsK_&gt;<br />
class cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</h3>

<p>This tile iterator is specialized for 32-thread TensorOps. It uses LDSM to load from shared memory and therefore must be initialized with a <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> to shared memory.</p>
<p>Satisfies: ReadableRandomAccessContiguousTileIteratorConcept </p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#af497c01bcf8f48ec2ec4a90df6eaec11">Base</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt;Shape::kRow, Shape::kColumn&gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad50d5b711b65113c24fb443f9a47d090">kOperand</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCrosswise.html">layout::TensorOpMultiplicandCrosswise</a>&lt;<a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ab727d22dc3746013f7a9e998b3311656">kCrosswise</a>&gt;, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt;InstructionShape::kRow, InstructionShape::kColumn&gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a4776e877963b81e7a1da91a7b5956034">kOpDelta</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63155c7e31f604d81cc80d8dd43aa4c1">kThreads</a>, PartitionsK_&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a> =  Element_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> =  Array&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63d8fb0bc5ff9156759fa24277aee9e0">Element</a>, Shape::kCount / <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a63155c7e31f604d81cc80d8dd43aa4c1">kThreads</a>&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a4976d5d69018094eddecb44de711343e">InstructionShape</a> =  InstructionShape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#add223eafdccc3e8557a1b797179ab645">Layout</a> =  <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ab727d22dc3746013f7a9e998b3311656">kCrosswise</a>&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a2deff3a17ae49f6b0c6f7d46f3296144">LongIndex</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#abc1e2caeaf199bb237021aedb568ff82">Shape</a> =  Shape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td>
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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad76e0d5c3390a5d148c76da1db5c75e2">TensorRef</a> const &amp;&#160;</td>
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<h2 class="groupheader">Member Function Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_pointer_offset </td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_tile_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;&#160;</td>
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<p>Advances an iterator along logical dimensions of matrix in units of whole tiles </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;&#160;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>&#160;</td>
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          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
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          <td>)</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a linear offset </td></tr>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
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          <td>)</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#ad5154742e24c958288b0f52544aaaa68">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a32d9d7875ad2a5fbb0281115b11ebce9">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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          <td>)</td>
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<dl class="params"><dt>Parameters</dt><dd>
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    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a linear offset </td></tr>
  </table>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator++ </td>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator+= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-- </td>
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<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___0e52ad425e1ee3e68544873f66733237b.html#a03318bc6554c900c68a6065fad2afbb0">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::set_kgroup_index </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>k_group</em></td><td>)</td>
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<p>Notify the iterator which k-group it is currently pointing to.</p>
<p>This does not advance the iterator. Rather, it overrides its internal tracking with constant-valued k-group index to enable the compiler to fold constants and achieve more efficient code.</p>
<p>This is used by some nontrivial permuted layouts. </p>

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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kCrosswise = Crosswise</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOpDelta = OpDelta_</td>
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<p>Delta between *MMA operations (in units of *MMA operations, concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>) </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOperand = Operand_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int Crosswise, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1ColumnMajorTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorTensorOpMultiplicandCrosswise</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, Crosswise &gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kThreads = 32</td>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a></li>
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